Robert C. Orchard

43 papers receiving 4.0k citations

Hit Papers

Optimized sgRNA design to maximize activity and minimize off-target effects of CRISPR-Cas9 2016 · 2.6k citations
2.6k201620262019202250010001.5k2.0k2.5k

Peers

Robert C. Orchard
Comparison fields: 5 of 117
  • Aging 135
  • Business and International Management 117
  • Molecular Biology 2.7k
  • Endocrinology 199
  • Infectious Diseases 661
Replace Craig B. Wilen with:
Craig B. Wilen United States
Jonathan L. Schmid‐Burgk Germany
Max J. Kellner United States
Meagan E. Sullender United States
Pu Gao China
Alejandro Chavez United States
Patrick Essletzbichler Austria
Hal P. Bogerd United States
Ekaterina Semenova United States
Michèle P. Calos United States
Robert C. Orchard relative to Craig B. Wilen United States Craig B. Wilen's profile →
Citations per field
00.5×3.8×
Craig B. Wilen · 1×
Citations per year

Countries citing papers authored by Robert C. Orchard

Since Specialization
Citations

This map shows the geographic impact of Robert C. Orchard's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Robert C. Orchard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert C. Orchard more than expected).

Fields of papers citing papers by Robert C. Orchard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert C. Orchard. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Robert C. Orchard. The network helps show where Robert C. Orchard may publish in the future.

Co-authors

The 25 scholars most cited alongside Robert C. Orchard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Robert C. Orchard Line = papers co-authored together Robert C. Orchard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20251
4 20247
5 20247
6 20242
7 202332
8 20233
9 202214
10 202012
11 202056
12 201955
13 201844
14 201833
15 201758
16 201772
17 2016206
18
Optimized sgRNA design to maximize activity and minimize off-target effects of CRISPR-Cas9
Hit paper breakdown →
20162646
19 2009112
20 199110

About Robert C. Orchard

Robert C. Orchard is a scholar working on Endocrinology, Infectious Diseases, Cardiology and Cardiovascular Medicine, Genetics and Animal Science and Zoology, having authored 45 papers that have together received 4.1k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (18 papers), Virus-based gene therapy research (12 papers), Viral Infections and Immunology Research (10 papers), Animal Virus Infections Studies (6 papers), Bacterial Genetics and Biotechnology (5 papers), interferon and immune responses (4 papers), Escherichia coli research studies (4 papers) and Cytomegalovirus and herpesvirus research (4 papers). The work is most often cited by research in Aging (135 citations), Business and International Management (117 citations), Molecular Biology (2.7k citations), Endocrinology (199 citations) and Infectious Diseases (661 citations). Robert C. Orchard has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Herbert W. Virgin, Craig B. Wilen, John G. Doench, Meagan E. Sullender, Zuzana Tóthová, Jennifer Listgarten, Katherine Donovan, Nicolò Fusi, David E. Root and Mudra Hegde. Their work appears in journals such as Journal of Virology, PLoS Pathogens, Cell Host & Microbe, Nature Microbiology and Proceedings of the National Academy of Sciences.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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